Software Engineering

Papers filed under cs.SE on arXiv, each one already summarized by Paperlayer. Open any of them to read the summary beside the original PDF, with every point linked to the line, figure, or table it came from.

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181 to 240 of 1,389

The Vibe Shift in Software Engineering: Evaluating AI-Led Conversational Programming for Performance, Cognition, and Responsible Adoption
Sales G. Aribe, Louie Jay S. Labastida
cs.SEcs.AIcs.ETarXiv:2609.09560v12026
Thrilled by Your Progress! Large Language Models (GPT-4) No Longer Struggle to Pass Assessments in Higher Education Programming Courses
Jaromir Savelka, Arav Agarwal, Marshall An +2
cs.CYcs.AIcs.CLarXiv:2306.10073v12023
subgraph2vec: Learning Distributed Representations of Rooted Sub-graphs from Large Graphs
Annamalai Narayanan, Mahinthan Chandramohan, Lihui Chen +2
cs.LGcs.AIcs.CRarXiv:1606.08928v12016
Free Lunch for Testing: Fuzzing Deep-Learning Libraries from Open Source
Anjiang Wei, Yinlin Deng, Chenyuan Yang +1
cs.SEarXiv:2201.06589v42022
Talking to Itself While Coding: What Makes Comments Help Code Generation?
Dangfeng Pan, Zhensu Sun, Cenyuan Zhang +2
cs.SEcs.AIarXiv:2609.09242v12026
Testing Scientific Software: A Systematic Literature Review
Upulee Kanewala, James M. Bieman
cs.SEarXiv:1804.01954v12018
UniParser: A Unified Log Parser for Heterogeneous Log Data
Yudong Liu, Xu Zhang, Shilin He +9
cs.SEarXiv:2202.06569v12022
A Systematic Literature Review on the Use of Deep Learning in Software Engineering Research
Cody Watson, Nathan Cooper, David Nader Palacio +2
cs.SEcs.AIcs.LGarXiv:2009.06520v22020
Applying CodeBERT for Automated Program Repair of Java Simple Bugs
Ehsan Mashhadi, Hadi Hemmati
cs.SEarXiv:2103.11626v22021
Diffs vs. Whole Files: An Empirical Comparison of Iterative Edit-Based and Direct Generation for Flutter/Dart Code Models
Andrej Andrejev
cs.SEcs.AIarXiv:2609.05779v12026
Scores Alone Do Not Prove Discovery: The Discovery Certification Protocol for Auditing AI Research Agents
Jingjie Ning, Shanshan Zhong, Xiaochuan Li +1
cs.MAcs.AIcs.SEarXiv:2609.09219v12026
RepoNav: From Snippet Retrieval to File-Centered Repository Navigation for Code Agents
Hongzheng Chai, Jiakun Li, Hongyue Yu +1
cs.SEcs.CLarXiv:2609.08355v12026
Operation-Type-Aware Client Routing for Leader-Based Consensus Datastores
Sri Saran Balaji Vellore Rajakumar, James Thompson
cs.DCcs.SEarXiv:2609.00392v12026
Granite Code Models: A Family of Open Foundation Models for Code Intelligence
Mayank Mishra, Matt Stallone, Gaoyuan Zhang +43
cs.AIcs.CLcs.SEarXiv:2405.04324v12024
On the Efficiency of Test Suite based Program Repair: A Systematic Assessment of 16 Automated Repair Systems for Java Programs
Kui Liu, Shangwen Wang, Anil Koyuncu +7
cs.SEarXiv:2008.00914v12020
Vectorizer: Vectorizing NumPy Programs with Shape-Guided Rewrite
Jingqian Liu, Xiaoyu Liu, Yuepeng Wang
cs.CLcs.SEarXiv:2609.08088v12026
It Is Not My Code Anymore
Augusto Camargo
cs.SEcs.AIarXiv:2609.09022v12026
Silent Revision: Measuring Undisclosed Change in the Safety Frameworks of Frontier AI Developers
Louis Yiven Zhu
cs.CYcs.AIcs.SEarXiv:2609.08789v12026
Full-speed Fuzzing: Reducing Fuzzing Overhead through Coverage-guided Tracing
Stefan Nagy, Matthew Hicks
cs.CRcs.SEarXiv:1812.11875v22018
The Unreliable Progress Bar: Can LLM Agents Reliably Report Task Progress Throughout Execution?
Boyang Wang, Yunhan Wang, Yalun Wu
cs.SEcs.AIcs.CLarXiv:2609.08589v12026
AttnCompress: Dynamic Attention-Guided Trajectory Compression for Software Engineering Agents
Zhengran Zeng, Yixin Li, Rui Xie +2
cs.SEcs.AIarXiv:2609.08318v12026
The Levels of Conceptual Interoperability Model: Applying Systems Engineering Principles to M&S
Wenguang WANG, Andreas TOLK, Weiping WANG
cs.SEarXiv:0908.0191v12009
An Empirical Study on the Impact of Change Granularity in Refactoring Detection
Lei Chen, Shinpei Hayashi
cs.SEarXiv:2609.07482v12026
Unblind Your Apps: Predicting Natural-Language Labels for Mobile GUI Components by Deep Learning
Jieshan Chen, Chunyang Chen, Zhenchang Xing +4
cs.HCcs.CVcs.SEarXiv:2003.00380v22020
Linking Software Development and Business Strategy Through Measurement
Victor R. Basili, Jens Heidrich, Mikael Lindvall +5
cs.SEarXiv:1311.6224v12013
AURA-Eval: Evaluation Framework for Acting Under Risk Awareness in LLM Agent Trajectories
Ruoxi Shang, Christina-Maria Androna, Orfeas Menis Mastromichalakis +6
cs.CRcs.AIcs.CLarXiv:2609.06783v12026
Testing Database Engines via Pivoted Query Synthesis
Manuel Rigger, Zhendong Su
cs.DBcs.SEarXiv:2001.04174v12020
Can ChatGPT replace StackOverflow? A Study on Robustness and Reliability of Large Language Model Code Generation
Li Zhong, Zilong Wang
cs.CLcs.AIcs.SEarXiv:2308.10335v52023
SWE-Test: Benchmarking LLM Vulnerability Discovery via Input Prediction
Yuanxiang Shi, Jiayi Lin, Xuanyong Lin +8
cs.SEcs.AIarXiv:2609.06229v12026
ExecCritic: Learn to Test, Test to Improve for Coding Agents
Leitian Tao, Baolin Peng, Haorui Wang +7
cs.AIcs.CLcs.SEarXiv:2609.09133v12026
MeClear: Cooperative Game-Theoretic Attribution and Risk-Aware Memory Clearance for Long-Horizon LLM Agents
Boyu Yang, Jiazheng Sun, Zilong Lu +3
cs.AIcs.SEarXiv:2609.09115v12026
LLM Critics Help Catch LLM Bugs
Nat McAleese, Rai Michael Pokorny, Juan Felipe Ceron Uribe +3
cs.SEcs.LGarXiv:2407.00215v12024
API Benchmark Scores Do Not Reliably Transfer to Chatbot Interfaces
Jennifer Wang, Joachim Baumann, Daniel E. Ho +1
cs.AIcs.SEarXiv:2609.08861v12026
EvolveScaler: Synthesizing Information-Evolution Contexts via Executable State Machines and Natural-Language Rendering
Ziliang Zhao, Zenan Xu, Shuting Wang +6
cs.AIcs.SEarXiv:2609.08435v12026
cuQuantum SDK: A High-Performance Library for Accelerating Quantum Science
Harun Bayraktar, Ali Charara, David Clark +19
quant-phcs.PFcs.SEarXiv:2308.01999v12023
When ChatGPT Meets Smart Contract Vulnerability Detection: How Far Are We?
Chong Chen, Jianzhong Su, Jiachi Chen +7
cs.SEarXiv:2309.05520v42023
Qiushi Engine on AstaBench E2E-Bench-Hard
Wenhao Li, Shuxing Yang, Fujia Chen +13
cs.AIcs.SEarXiv:2609.08196v12026
SWE-Bench Pro Verified: A Reliable Benchmark for Software Engineering Agents
Pujun Zheng, Zixin Shang, Shufan Jiang +5
cs.AIcs.SEarXiv:2609.08149v12026
Test Case Selection and Prioritization Using Machine Learning: A Systematic Literature Review
Rongqi Pan, Mojtaba Bagherzadeh, Taher A. Ghaleb +1
cs.SEarXiv:2106.13891v22021
Copiloting the Copilots: Fusing Large Language Models with Completion Engines for Automated Program Repair
Yuxiang Wei, Chunqiu Steven Xia, Lingming Zhang
cs.SEcs.LGcs.PLarXiv:2309.00608v32023
CERT: Continual Pre-Training on Sketches for Library-Oriented Code Generation
Daoguang Zan, Bei Chen, Dejian Yang +6
cs.SEcs.CLcs.PLarXiv:2206.06888v12022
Ethics-Based Auditing of Automated Decision-Making Systems: Nature, Scope, and Limitations
Jakob Mokander, Jessica Morley, Mariarosaria Taddeo +1
cs.CYcs.SEarXiv:2110.10980v12021
Is "Better Data" Better than "Better Data Miners"? (On the Benefits of Tuning SMOTE for Defect Prediction)
Amritanshu Agrawal, Tim Menzies
cs.SEarXiv:1705.03697v32017
A Tool-Augmented, GPT-4 Chatbot for Real-Time Repository Data Analysis
Muhammad Jawad Chowdhury, Md. Sakib Khan
cs.AIcs.SEarXiv:2609.07586v12026
CIT-CAD: Constraint Intent Tree-based CAD Code Generation and Verification
Yali Du, Hui Sun, San-Zhuo Xi +1
cs.AIcs.SEarXiv:2609.07434v12026
Verification-Time Dependency on a Disappearing Evaluator
Ho Wa Ku, Jameel Ahmed Siddiqui
cs.CYcs.SEarXiv:2608.29912v12026
Criticality Metrics for Automated Driving: A Review and Suitability Analysis of the State of the Art
Lukas Westhofen, Christian Neurohr, Tjark Koopmann +6
cs.ROcs.SEarXiv:2108.02403v22021
No Need to Lift a Finger Anymore? Assessing the Quality of Code Generation by ChatGPT
Zhijie Liu, Yutian Tang, Xiapu Luo +2
cs.SEarXiv:2308.04838v22023
PyMT5: multi-mode translation of natural language and Python code with transformers
Colin B. Clement, Dawn Drain, Jonathan Timcheck +2
cs.LGcs.SEarXiv:2010.03150v12020
Prompting Is All You Need: Automated Android Bug Replay with Large Language Models
Sidong Feng, Chunyang Chen
cs.SEarXiv:2306.01987v32023
On the Pragmatic Design of Literature Studies in Software Engineering: An Experience-based Guideline
M. Kuhrmann, D. Méndez Fernández, M. Daneva
cs.SEarXiv:1612.03583v12016
Decentralised LTL Monitoring
Andreas Bauer, Yliès Falcone
cs.SEarXiv:1111.5133v32011
Seeing Without Understanding: Large Language Model Evaluation of Mobile User Interface Quality, Failure Taxonomy, and Architectural Explanation
Md Rejaul Korim Sadi, Golam Mostofa Naeem, Toufiqur Rahman Tasin +4
cs.HCcs.CLcs.SEarXiv:2609.05423v12026
A Unified Policy Architecture (UPA): The Governance Kernel for Enterprise AI Operating Systems
Prabhu Raghav, Balamurugan Pandi, Arul Vivek +2
cs.AIcs.CLcs.SEarXiv:2609.06543v12026
How Effective Are Neural Networks for Fixing Security Vulnerabilities
Yi Wu, Nan Jiang, Hung Viet Pham +5
cs.SEcs.AIcs.CRarXiv:2305.18607v22023
Traceability Transformed: Generating more Accurate Links with Pre-Trained BERT Models
Jinfeng Lin, Yalin Liu, Qingkai Zeng +2
cs.SEarXiv:2102.04411v22021
Clustering-Based Predictive Process Monitoring
Chiara Di Francescomarino, Marlon Dumas, Fabrizio Maria Maggi +1
cs.SEarXiv:1506.01428v12015
SWE-Gate: Passing Functional Tests Is Not Enough for Software Engineering Agents
Xin He, Yanlin Wang, Mingwei Liu +3
cs.SEcs.AIarXiv:2609.04167v12026
Object Detection for Graphical User Interface: Old Fashioned or Deep Learning or a Combination?
Jieshan Chen, Mulong Xie, Zhenchang Xing +4
cs.CVcs.HCcs.LGarXiv:2008.05132v22020
PatchBench: Evaluating AI Agents for Vulnerability Patching
Chihao Shen, Jiacheng Li, Aastha Mahajan +3
cs.CRcs.AIcs.SEarXiv:2609.04075v12026

Software Engineering

The Vibe Shift in Software Engineering: Evaluating AI-Led Conversational Programming for Performance, Cognition, and Responsible Adoption

Thrilled by Your Progress! Large Language Models (GPT-4) No Longer Struggle to Pass Assessments in Higher Education Programming Courses

subgraph2vec: Learning Distributed Representations of Rooted Sub-graphs from Large Graphs

Free Lunch for Testing: Fuzzing Deep-Learning Libraries from Open Source

Talking to Itself While Coding: What Makes Comments Help Code Generation?

Testing Scientific Software: A Systematic Literature Review

UniParser: A Unified Log Parser for Heterogeneous Log Data

A Systematic Literature Review on the Use of Deep Learning in Software Engineering Research

Applying CodeBERT for Automated Program Repair of Java Simple Bugs

Diffs vs. Whole Files: An Empirical Comparison of Iterative Edit-Based and Direct Generation for Flutter/Dart Code Models

Scores Alone Do Not Prove Discovery: The Discovery Certification Protocol for Auditing AI Research Agents

RepoNav: From Snippet Retrieval to File-Centered Repository Navigation for Code Agents

Operation-Type-Aware Client Routing for Leader-Based Consensus Datastores

Granite Code Models: A Family of Open Foundation Models for Code Intelligence

On the Efficiency of Test Suite based Program Repair: A Systematic Assessment of 16 Automated Repair Systems for Java Programs

Vectorizer: Vectorizing NumPy Programs with Shape-Guided Rewrite

It Is Not My Code Anymore

Silent Revision: Measuring Undisclosed Change in the Safety Frameworks of Frontier AI Developers

Full-speed Fuzzing: Reducing Fuzzing Overhead through Coverage-guided Tracing

The Unreliable Progress Bar: Can LLM Agents Reliably Report Task Progress Throughout Execution?

AttnCompress: Dynamic Attention-Guided Trajectory Compression for Software Engineering Agents

The Levels of Conceptual Interoperability Model: Applying Systems Engineering Principles to M&S

An Empirical Study on the Impact of Change Granularity in Refactoring Detection

Unblind Your Apps: Predicting Natural-Language Labels for Mobile GUI Components by Deep Learning

Linking Software Development and Business Strategy Through Measurement

AURA-Eval: Evaluation Framework for Acting Under Risk Awareness in LLM Agent Trajectories

Testing Database Engines via Pivoted Query Synthesis

Can ChatGPT replace StackOverflow? A Study on Robustness and Reliability of Large Language Model Code Generation

SWE-Test: Benchmarking LLM Vulnerability Discovery via Input Prediction

ExecCritic: Learn to Test, Test to Improve for Coding Agents

MeClear: Cooperative Game-Theoretic Attribution and Risk-Aware Memory Clearance for Long-Horizon LLM Agents

LLM Critics Help Catch LLM Bugs

API Benchmark Scores Do Not Reliably Transfer to Chatbot Interfaces

EvolveScaler: Synthesizing Information-Evolution Contexts via Executable State Machines and Natural-Language Rendering

cuQuantum SDK: A High-Performance Library for Accelerating Quantum Science

When ChatGPT Meets Smart Contract Vulnerability Detection: How Far Are We?

Qiushi Engine on AstaBench E2E-Bench-Hard

SWE-Bench Pro Verified: A Reliable Benchmark for Software Engineering Agents

Test Case Selection and Prioritization Using Machine Learning: A Systematic Literature Review

Copiloting the Copilots: Fusing Large Language Models with Completion Engines for Automated Program Repair

CERT: Continual Pre-Training on Sketches for Library-Oriented Code Generation

Ethics-Based Auditing of Automated Decision-Making Systems: Nature, Scope, and Limitations

Is "Better Data" Better than "Better Data Miners"? (On the Benefits of Tuning SMOTE for Defect Prediction)

A Tool-Augmented, GPT-4 Chatbot for Real-Time Repository Data Analysis

CIT-CAD: Constraint Intent Tree-based CAD Code Generation and Verification

Verification-Time Dependency on a Disappearing Evaluator

Criticality Metrics for Automated Driving: A Review and Suitability Analysis of the State of the Art

No Need to Lift a Finger Anymore? Assessing the Quality of Code Generation by ChatGPT

PyMT5: multi-mode translation of natural language and Python code with transformers

Prompting Is All You Need: Automated Android Bug Replay with Large Language Models

On the Pragmatic Design of Literature Studies in Software Engineering: An Experience-based Guideline

Decentralised LTL Monitoring

Seeing Without Understanding: Large Language Model Evaluation of Mobile User Interface Quality, Failure Taxonomy, and Architectural Explanation

A Unified Policy Architecture (UPA): The Governance Kernel for Enterprise AI Operating Systems

How Effective Are Neural Networks for Fixing Security Vulnerabilities

Traceability Transformed: Generating more Accurate Links with Pre-Trained BERT Models

Clustering-Based Predictive Process Monitoring

SWE-Gate: Passing Functional Tests Is Not Enough for Software Engineering Agents

Object Detection for Graphical User Interface: Old Fashioned or Deep Learning or a Combination?

PatchBench: Evaluating AI Agents for Vulnerability Patching